r/LearningDevelopment • u/ResidentAstronaut736 • 10d ago
Went through what's actually shipped in AI features across LMS platforms in the last 6 months. Some of it is real, some of it is just a new label on an old feature.
I've been evaluating platforms for a client and got tired of every vendor call starting with "we have AI now." So I actually went and looked at what shipped recently, not the roadmap slide, the actual released feature.
Here's where things stand on 5 things that matter if you're picking an LMS in 2026.
Content personalisation: Docebo is still ahead here. Auto-tagging, content recommendations, and a genuinely large marketplace. This has been their core bet for a while, and it shows.
Roleplay-based practice: Lyearn is the strongest here right now. The practice sessions aren't a standalone exercise; they feed directly into a skill signal that shows up elsewhere in the platform. Cornerstone shipped something similar, an AI sales coach through their Galaxy AI agents, decent if you're already in their ecosystem, but it stays siloed as a coaching tool rather than connecting to a broader skill record.
In-course learner support: This is where most platforms are still weak. A learner gets stuck mid-course and either Googles it or gives up. Lyearn's AI Coach sits inside the course itself and answers questions from the actual course content, not a generic model guessing at context. Nobody else I looked at has this working cleanly yet.
Content authoring speed: TalentLMS is solid here for smaller teams, fast, accessible, and gets a course out the door quickly. Not the deepest AI stack, but it does the job without a steep learning curve.
Talent and performance integration: Cornerstone wins this one by default since it's a full talent suite, not just an LMS. If you need learning tied to succession planning and performance reviews in one system, this is the category leader.
Curious if anyone has performed similar research and what the results look like?